Mistral Nemo vs Perplexity Sonar

Performance benchmarks + pricing comparison — updated April 2026

Mistral Nemo

Mistral

Compact 12B open-weight model co-developed with NVIDIA. Excellent coding performance at minimal cost.

Input$0.150/M
Output$0.150/M
Context128K tokens
Best ForSelf-hosted deployments, cost-sensitive coding, edge deployments
Benchmark48/100

Perplexity Sonar

Perplexity

Perplexity's standard search model. Fast, cited answers at lower cost than Sonar Pro.

Input$1.00/M
Output$1.00/M
Context128K tokens
Best ForQuick research, fact-checking, search-augmented chat

Cost Comparison by Scenario

Estimated cost per project with 30% cache hit rate. Actual costs may vary based on usage patterns.

ScenarioMistral NemoPerplexity SonarSavings
Small Script (1K lines) <$0.01 $0.07 Mistral Nemo saves $0.06 (85%)
Medium Feature (10K lines) $0.08 $0.55 Mistral Nemo saves $0.47 (85%)
Large Project (50K lines) $0.41 $2.75 Mistral Nemo saves $2.34 (85%)
Code Review (5K lines) $0.03 $0.20 Mistral Nemo saves $0.17 (85%)

Verdict

Mistral Nemo wins on both price and performance — $0.150/M input with a benchmark score of N/A/100.

For most developers, this is the clear choice between these two models.

Compare with Other Models